7. Design, Applications and Impact

• 7.1. Types Of Machine Learning Summary
  • 7.1.1. Supervised Learning
  • 7.1.2. Unsupervised Learning
  • 7.1.3. Semi-supervised Learning
  • 7.1.4. Reinforcement Learning
• 7.2. Exercise: Applications of Machine Learning Algorithms
  • 7.2.1. Data Analysis and Forecasting
  • 7.2.2. Virtual Personal Assistants
  • 7.2.3. Image Recognition
• 7.3. ML in DevOPS, RPA and BPA
  • 7.3.1. How does machine learning (ML) support automation through the use of…
• 7.4. MLOps
  • 7.4.1. What is MLOps?
  • 7.4.2. MLOps Stages
  • 7.4.3. The 3-Stage Diagram
• 7.5. Bias in AI
  • 7.5.1. Human Bias in AI Development
  • 7.5.2. Dataset Source Bias
  • 7.5.3. Mitigating Bias in AI
  • 7.5.4. Recommended Videos
• 7.6. How Cultural Protocols and Belief Systems Impact AI
  • 7.6.1. Belief Systems
  • 7.6.2. Cultural Protocols
  • 7.6.3. Recommended Videos
• 7.7. How Patterns in Human Behaviour Influence ML and AI Software Development
  • 7.7.1. Patterns Related to Acute Stress Response
  • 7.7.2. Psychological Responses
• 7.8. The Impacts of Automation on the Individual, Society and the Environment
  • 7.8.1. Safety of Workers
  • 7.8.2. People with Disability
  • 7.8.3. The Nature and Skills Required for Employment
  • 7.8.4. Production Efficiency, Waste and the Environment
  • 7.8.5. The Economy and Distribution of Wealth
  • 7.8.6. Recommended Videos